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ARCS
2005
Springer
16 years 7 days ago
Adaptive Object Acquisition
We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a...
Gabriele Peters, Claus-Peter Alberts, Markus Bries...
SIGIR
2003
ACM
15 years 12 months ago
ReCoM: reinforcement clustering of multi-type interrelated data objects
Most existing clustering algorithms cluster highly related data objects such as Web pages and Web users separately. The interrelation among different types of data objects is eith...
Jidong Wang, Hua-Jun Zeng, Zheng Chen, Hongjun Lu,...
GRAPHICSINTERFACE
2008
15 years 8 months ago
SurfaceFusion: unobtrusive tracking of everyday objects in tangible user interfaces
Interactive surfaces and related tangible user interfaces often involve everyday objects that are identified, tracked, and augmented with digital information. Traditional approach...
Alex Olwal, Andrew D. Wilson
IJCV
2008
223views more  IJCV 2008»
15 years 6 months ago
Robust Object Detection with Interleaved Categorization and Segmentation
This paper presents a novel method for detecting and localizing objects of a visual category in cluttered real-world scenes. Our approach considers object categorization and figure...
Bastian Leibe, Ales Leonardis, Bernt Schiele
SSDBM
2009
IEEE
119views Database» more  SSDBM 2009»
16 years 1 months ago
Identifying the Most Endangered Objects from Spatial Datasets
Abstract. Real-life spatial objects are usually described by their geographic locations (e.g., longitude and latitude), and multiple quality attributes. Conventionally, spatial dat...
Hua Lu, Man Lung Yiu